Transforming the Future Using AI Agents for Business

AI is already on the rise in how business is conducted and AI Agents are leading this change. According to reports, generative AI agents can automate 15% to 50% of business functions by 2027. These digital tools can solve recurring tasks, optimise customers’ experience, and deliver valuable outcomes for business. But that’s not all. The AI agents are completely transforming the business. 

What is an AI Agent?

  • An AI Agent refers to a computer system, capable of operating independently to achieve certain goals. The algorithms work in such a way that they can make certain decisions. AI agents are similar to server clerks who look and work like a human agent to provide solutions. They can coordinate work schedules, or suggest the best way forward.
  • AI Agents have the ability to analyze data, and take actions that can help to achieve set objectives. AI agents can be implemented in many businesses.

AI Agent Classifications in Business

AI intelligent Agents can also be categorised according to its functions and responsibilities that it has in the access system. Here are the most common types used in businesses: 

⭐ Conversational AI Agents

Conversational intelligence enables people and organizations to make better decisions by combining user input and real-time data. It reduces miscommunications and guarantees that each exchange advances toward a certain goal.

⭐ Reactive AI Agnets

Reactive Agents make decisions purely on the current states of the environment without the need to learn from previous instances. For instance, the Netflix suggestion relies on your currently conducted activity such as watching movies, while Spotify suggests songs. 

⭐ Proactive AI Agents

These AI assistance are proactive in that they estimate what a particular user would require and present the solutions before they are requested. For example, AI in logistics may tell you that there is likely to be a disruption to the supply chain according to big data and analytics. 

⭐ Collabrative AI Agents

Collaborative Agents help teams by handling tasks, arranging meetings or abstracting long documents. These are instances such as Slack’s AI assistant or Notion AI.

AI Agent Examples: Change The Way Business is Done

Some of the areas that companies are using AI agents include: Here are some notable AI agent examples that are reshaping industries:

.

Some examples of intelligent agents in AI include Zendesk, Intercom that offer round the clock customer support. Although these intelligent agents work well to provide immediate responses to frequently asked questions, to solve concerns, or even refer a customer to a human agent if the issue is complicated. 

Cleo is an example of an AI Agents that helping customers with respect to budgeting and expense tracking and other related financial advice. HSEC systems rely on conversational AI to help interface in a friendly and engaging way.

Babylon or Ada are examples of virtual health AI assistants. It employs conversational methods to provide the clients with medical consultation and preliminary diagnosis, and schedule appointments. 

AI intelligent Agents de-siloes the recruitment task. For instance, the HireVue system scans resumes and performs video screenings with elements of sentiment analysis. 

Schedule a Demo

Advantages of AI Agents in Business

  • AI Agents perform basic jobs thus leaving employees with mere central activities to work on. Through dealing with normal customer relations or data processing procedures, different companies are able to reduce expenses on employees. Chatbot delivers precise and fast response time and in general customer satisfaction is increased.
  • Furthermore, AI Agents perform data mining at the rate of real-time and assist organizations to make the appropriate decision.
  • That’s why the work of an AI system does not require more resources as the number of tasks grows. It is essential for businesses that focus on their growth.

Challenges of Using AI Agents

➡️ Despite their benefits, deploying AI Agents comes with challenges:

  • Protection of customer data.
  • Integration i with different platforms.
  • Recent developments of artificial intelligence agents in Organizations.

➡️ In the future, we can expect AI Agents to:

  • 1. Effective interaction between customers and organization.
  • 2. Interacting with one another more like colleagues rather than stepping in to fill the position of the other.
  • 3. Operating entire processes from start to finish with very little direct human assistance.
Contact Us